The Experts below are selected from a list of 4878 Experts worldwide ranked by ideXlab platform
Eun Yeol Lee - One of the best experts on this subject based on the ideXlab platform.
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Crude glycerol-mediated Liquefaction of empty fruit bunches saccharification residues for preparation of biopolyurethane
Journal of Industrial and Engineering Chemistry, 2016Co-Authors: Ju Hee Lee, Jae Hoon Lee, Duk-ki Kim, Chang-ho Park, Eun Yeol LeeAbstract:Abstract In order to utilize lignin residue from the pretreatment of empty fruit bunch (EFB) and crude glycerol from biodiesel production, lignin residue was solvothermally liquefied using crude glycerol to produce lignol. The optimal Liquefaction conditions for lignol production were determined to be 10% biomass loading, 5% acid loading, a Liquefaction Temperature of 170 °C, and a Liquefaction time of 120 min. The biomass conversion at the optimal conditions was 47.9%. The lignols possess hydroxyl number of 1649.3 mg KOH/g and acid number of 8.4 mg KOH/g. Fourier transform infrared spectroscopy revealed that the lignol was suitable for biopolyurethane synthesis.
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solvothermal Liquefaction of microalgal tetraselmis sp biomass to prepare biopolyols by using peg 400 blended glycerol
Algal Research-Biomass Biofuels and Bioproducts, 2015Co-Authors: Keon Hee Kim, Choul-gyun Lee, Eun Yeol LeeAbstract:Abstract The microalga Tetraselmis sp. was solvothermally liquefied to prepare biopolyols. Polyethylene glycol 400 (PEG#400)-blended glycerol was used as the Liquefaction solvent in the presence of sulfuric acid as the catalyst. The effects of Liquefaction parameters, such as the PEG#400/glycerol ratio, Liquefaction Temperature, acid loading, biomass loading, and Liquefaction time on the biomass conversion of Tetraselmis sp. have been investigated and optimized. The optimal Liquefaction conditions for biopolyol production were PEG#400/glycerol = 6/4, 190 °C, 5% (w/w) acid loading, 20% (w/w) biomass loading, and 60 min. At the optimal condition, biomass conversion was 88.5%, and the hydroxyl and acid numbers of biopolyols were about 650 mg KOH/g and 9 mg KOH/g polyol, respectively. Fourier transform infrared spectroscopy (FT-IR) showed that the resulting biopolyol was suitable for polyurethane synthesis.
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Solvothermal Liquefaction of microalgal Tetraselmis sp. biomass to prepare biopolyols by using PEG#400-blended glycerol
Algal Research, 2015Co-Authors: Keon Hee Kim, Choul-gyun Lee, Eun Yeol LeeAbstract:Abstract The microalga Tetraselmis sp. was solvothermally liquefied to prepare biopolyols. Polyethylene glycol 400 (PEG#400)-blended glycerol was used as the Liquefaction solvent in the presence of sulfuric acid as the catalyst. The effects of Liquefaction parameters, such as the PEG#400/glycerol ratio, Liquefaction Temperature, acid loading, biomass loading, and Liquefaction time on the biomass conversion of Tetraselmis sp. have been investigated and optimized. The optimal Liquefaction conditions for biopolyol production were PEG#400/glycerol = 6/4, 190 °C, 5% (w/w) acid loading, 20% (w/w) biomass loading, and 60 min. At the optimal condition, biomass conversion was 88.5%, and the hydroxyl and acid numbers of biopolyols were about 650 mg KOH/g and 9 mg KOH/g polyol, respectively. Fourier transform infrared spectroscopy (FT-IR) showed that the resulting biopolyol was suitable for polyurethane synthesis.
Pedro Baptista De Castro - One of the best experts on this subject based on the ideXlab platform.
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Effect of Dy substitution in the giant magnetocaloric properties of HoB2.
Science and technology of advanced materials, 2021Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Hiroyuki Takeya, Yoshihiko TakanoAbstract:Recently, a massive magnetocaloric effect near the Liquefaction Temperature of hydrogen has been reported in the ferromagnetic material HoB2. Here we investigate the effects of Dy substitution in t...
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machine learning guided discovery of gigantic magnetocaloric effect in hob _ 2 near hydrogen Liquefaction Temperature
arXiv: Materials Science, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki TakeyaAbstract:Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials which exhibits large magnetocaloric effect, these properties for a large number of compounds still remain unknown. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials which could exhibit large magnetocaloric effect. By this approach, HoB$_{2}$ is singled out, synthesized and its magnetocaloric properties are evaluated, leading to the experimental discovery of gigantic magnetic entropy change 40.1 J kg$^{-1}$ K$^{-1}$ (0.35 J cm$^{-3}$ K$^{-1}$) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to our knowledge, near the hydrogen Liquefaction Temperature thus it is a highly suitable material for hydrogen Liquefaction and low Temperature magnetic cooling applications.
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machine learning guided discovery of the gigantic magnetocaloric effect in hob 2 near the hydrogen Liquefaction Temperature
Npg Asia Materials, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito SaitoAbstract:Magnetic refrigeration exploits the magnetocaloric effect, which is the entropy change upon the application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials that exhibit a large magnetocaloric effect, these properties remain unknown for a substantial number of compounds. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials that could exhibit a large magnetocaloric effect. By this approach, HoB2 is singled out and synthesized, and its magnetocaloric properties are evaluated, leading to the experimental discovery of a gigantic magnetic entropy change of 40.1 J kg−1 K−1 (0.35 J cm−3 K−1) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to the best of our knowledge, near the hydrogen Liquefaction Temperature; thus, HoB2 is a highly suitable material for hydrogen Liquefaction and low-Temperature magnetic cooling applications. A material for magnetically cooling hydrogen to its liquid form has been identified by a data-driven approach. Some materials get colder when they are exposed to an alternating magnetic field. This so-called magnetocaloric effect enables refrigeration to within one thousandth of a degree of absolute zero. Trial and error have uncovered many magnetocaloric materials, but Pedro Baptista de Castro, from the National Institute for Materials Science in Tsukuba, Japan, and co-workers have instead approached material discovery in a more systematic way using machine learning. They trained their algorithm to screen prospective compounds using data from the scientific literature. In this way they identified, and then experimentally confirmed, that holmium boride, HoB2, has a giant magnetocaloric effect at Temperatures around 15 Kelvin (–258 °C), near the Liquefaction point of hydrogen. Magnetic refrigeration, which is based on the magnetocaloric effect (MCE), is an emerging pathway for environment-friendly refrigeration. In this work, we performed a machine learning based approach to discover experimentally that HoB2 exhibits |ΔSM| = 40.1 J/kg K (0.35 J/cm−3 K) for μ0ΔΗ = 5 Τ at second order transition of TC ~ 15 K, having the largest |ΔSM| around this Temperature region. Thus, HoB2 is a highly suitable material for hydrogen Liquefaction and low-Temperature magnetic cooling applications. Our study also sheds light on the machine learning approach as an effective method for searching functional materials characterized by complex physical properties.
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Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB$_{2}$ Near Hydrogen Liquefaction Temperature
NPG Asia Materials, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki TakeyaAbstract:Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials which exhibits large magnetocaloric effect, these properties for a large number of compounds still remain unknown. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials which could exhibit large magnetocaloric effect. By this approach, HoB$_{2}$ is singled out, synthesized and its magnetocaloric properties are evaluated, leading to the experimental discovery of gigantic magnetic entropy change 40.1 J kg$^{-1}$ K$^{-1}$ (0.35 J cm$^{-3}$ K$^{-1}$) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to our knowledge, near the hydrogen Liquefaction Temperature thus it is a highly suitable material for hydrogen Liquefaction and low Temperature magnetic cooling applications.
K Hono - One of the best experts on this subject based on the ideXlab platform.
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tuning magnetocaloric effect of ho1 xgdxni2 and honi2 ycoy alloys around hydrogen Liquefaction Temperature
Scripta Materialia, 2020Co-Authors: Jiawei Lai, Xin Tang, H Sepehriamin, K HonoAbstract:Abstact We show the giant magnetocaloric effect of HoNi2 compound can be tuned around hydrogen Liquefaction Temperature by substituting Ho with Gd and Ni with Co in Ho1-xGdxNi2-yCoy. While the Curie Temperature of Ho1-xGdxNi2-yCoy can be tuned from 15 to 32 K originating from the lattice expansion of the cubic structure, giant entropy change of 22.0 J/kgK is retained near the hydrogen Liquefaction Temperature. A table-like entropy change observed in a broad Temperature range of 20 to 32 K makes them promising as magnetocaloric materials for cryogenic magnetic refrigeration utilizing an Ericsson cycle.
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Tuning magnetocaloric effect of Ho1-Gd Ni2 and HoNi2-Co alloys around hydrogen Liquefaction Temperature
Scripta Materialia, 2020Co-Authors: Jiawei Lai, Xin Tang, Hossein Sepehri-amin, K HonoAbstract:Abstact We show the giant magnetocaloric effect of HoNi2 compound can be tuned around hydrogen Liquefaction Temperature by substituting Ho with Gd and Ni with Co in Ho1-xGdxNi2-yCoy. While the Curie Temperature of Ho1-xGdxNi2-yCoy can be tuned from 15 to 32 K originating from the lattice expansion of the cubic structure, giant entropy change of 22.0 J/kgK is retained near the hydrogen Liquefaction Temperature. A table-like entropy change observed in a broad Temperature range of 20 to 32 K makes them promising as magnetocaloric materials for cryogenic magnetic refrigeration utilizing an Ericsson cycle.
Yoshito Saito - One of the best experts on this subject based on the ideXlab platform.
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Effect of Dy substitution in the giant magnetocaloric properties of HoB2.
Science and technology of advanced materials, 2021Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Hiroyuki Takeya, Yoshihiko TakanoAbstract:Recently, a massive magnetocaloric effect near the Liquefaction Temperature of hydrogen has been reported in the ferromagnetic material HoB2. Here we investigate the effects of Dy substitution in t...
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machine learning guided discovery of gigantic magnetocaloric effect in hob _ 2 near hydrogen Liquefaction Temperature
arXiv: Materials Science, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki TakeyaAbstract:Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials which exhibits large magnetocaloric effect, these properties for a large number of compounds still remain unknown. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials which could exhibit large magnetocaloric effect. By this approach, HoB$_{2}$ is singled out, synthesized and its magnetocaloric properties are evaluated, leading to the experimental discovery of gigantic magnetic entropy change 40.1 J kg$^{-1}$ K$^{-1}$ (0.35 J cm$^{-3}$ K$^{-1}$) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to our knowledge, near the hydrogen Liquefaction Temperature thus it is a highly suitable material for hydrogen Liquefaction and low Temperature magnetic cooling applications.
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machine learning guided discovery of the gigantic magnetocaloric effect in hob 2 near the hydrogen Liquefaction Temperature
Npg Asia Materials, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito SaitoAbstract:Magnetic refrigeration exploits the magnetocaloric effect, which is the entropy change upon the application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials that exhibit a large magnetocaloric effect, these properties remain unknown for a substantial number of compounds. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials that could exhibit a large magnetocaloric effect. By this approach, HoB2 is singled out and synthesized, and its magnetocaloric properties are evaluated, leading to the experimental discovery of a gigantic magnetic entropy change of 40.1 J kg−1 K−1 (0.35 J cm−3 K−1) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to the best of our knowledge, near the hydrogen Liquefaction Temperature; thus, HoB2 is a highly suitable material for hydrogen Liquefaction and low-Temperature magnetic cooling applications. A material for magnetically cooling hydrogen to its liquid form has been identified by a data-driven approach. Some materials get colder when they are exposed to an alternating magnetic field. This so-called magnetocaloric effect enables refrigeration to within one thousandth of a degree of absolute zero. Trial and error have uncovered many magnetocaloric materials, but Pedro Baptista de Castro, from the National Institute for Materials Science in Tsukuba, Japan, and co-workers have instead approached material discovery in a more systematic way using machine learning. They trained their algorithm to screen prospective compounds using data from the scientific literature. In this way they identified, and then experimentally confirmed, that holmium boride, HoB2, has a giant magnetocaloric effect at Temperatures around 15 Kelvin (–258 °C), near the Liquefaction point of hydrogen. Magnetic refrigeration, which is based on the magnetocaloric effect (MCE), is an emerging pathway for environment-friendly refrigeration. In this work, we performed a machine learning based approach to discover experimentally that HoB2 exhibits |ΔSM| = 40.1 J/kg K (0.35 J/cm−3 K) for μ0ΔΗ = 5 Τ at second order transition of TC ~ 15 K, having the largest |ΔSM| around this Temperature region. Thus, HoB2 is a highly suitable material for hydrogen Liquefaction and low-Temperature magnetic cooling applications. Our study also sheds light on the machine learning approach as an effective method for searching functional materials characterized by complex physical properties.
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Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB$_{2}$ Near Hydrogen Liquefaction Temperature
NPG Asia Materials, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki TakeyaAbstract:Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials which exhibits large magnetocaloric effect, these properties for a large number of compounds still remain unknown. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials which could exhibit large magnetocaloric effect. By this approach, HoB$_{2}$ is singled out, synthesized and its magnetocaloric properties are evaluated, leading to the experimental discovery of gigantic magnetic entropy change 40.1 J kg$^{-1}$ K$^{-1}$ (0.35 J cm$^{-3}$ K$^{-1}$) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to our knowledge, near the hydrogen Liquefaction Temperature thus it is a highly suitable material for hydrogen Liquefaction and low Temperature magnetic cooling applications.
Ryo Matsumoto - One of the best experts on this subject based on the ideXlab platform.
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Effect of Dy substitution in the giant magnetocaloric properties of HoB2.
Science and technology of advanced materials, 2021Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Hiroyuki Takeya, Yoshihiko TakanoAbstract:Recently, a massive magnetocaloric effect near the Liquefaction Temperature of hydrogen has been reported in the ferromagnetic material HoB2. Here we investigate the effects of Dy substitution in t...
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machine learning guided discovery of gigantic magnetocaloric effect in hob _ 2 near hydrogen Liquefaction Temperature
arXiv: Materials Science, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki TakeyaAbstract:Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials which exhibits large magnetocaloric effect, these properties for a large number of compounds still remain unknown. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials which could exhibit large magnetocaloric effect. By this approach, HoB$_{2}$ is singled out, synthesized and its magnetocaloric properties are evaluated, leading to the experimental discovery of gigantic magnetic entropy change 40.1 J kg$^{-1}$ K$^{-1}$ (0.35 J cm$^{-3}$ K$^{-1}$) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to our knowledge, near the hydrogen Liquefaction Temperature thus it is a highly suitable material for hydrogen Liquefaction and low Temperature magnetic cooling applications.
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machine learning guided discovery of the gigantic magnetocaloric effect in hob 2 near the hydrogen Liquefaction Temperature
Npg Asia Materials, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito SaitoAbstract:Magnetic refrigeration exploits the magnetocaloric effect, which is the entropy change upon the application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials that exhibit a large magnetocaloric effect, these properties remain unknown for a substantial number of compounds. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials that could exhibit a large magnetocaloric effect. By this approach, HoB2 is singled out and synthesized, and its magnetocaloric properties are evaluated, leading to the experimental discovery of a gigantic magnetic entropy change of 40.1 J kg−1 K−1 (0.35 J cm−3 K−1) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to the best of our knowledge, near the hydrogen Liquefaction Temperature; thus, HoB2 is a highly suitable material for hydrogen Liquefaction and low-Temperature magnetic cooling applications. A material for magnetically cooling hydrogen to its liquid form has been identified by a data-driven approach. Some materials get colder when they are exposed to an alternating magnetic field. This so-called magnetocaloric effect enables refrigeration to within one thousandth of a degree of absolute zero. Trial and error have uncovered many magnetocaloric materials, but Pedro Baptista de Castro, from the National Institute for Materials Science in Tsukuba, Japan, and co-workers have instead approached material discovery in a more systematic way using machine learning. They trained their algorithm to screen prospective compounds using data from the scientific literature. In this way they identified, and then experimentally confirmed, that holmium boride, HoB2, has a giant magnetocaloric effect at Temperatures around 15 Kelvin (–258 °C), near the Liquefaction point of hydrogen. Magnetic refrigeration, which is based on the magnetocaloric effect (MCE), is an emerging pathway for environment-friendly refrigeration. In this work, we performed a machine learning based approach to discover experimentally that HoB2 exhibits |ΔSM| = 40.1 J/kg K (0.35 J/cm−3 K) for μ0ΔΗ = 5 Τ at second order transition of TC ~ 15 K, having the largest |ΔSM| around this Temperature region. Thus, HoB2 is a highly suitable material for hydrogen Liquefaction and low-Temperature magnetic cooling applications. Our study also sheds light on the machine learning approach as an effective method for searching functional materials characterized by complex physical properties.
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Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB$_{2}$ Near Hydrogen Liquefaction Temperature
NPG Asia Materials, 2020Co-Authors: Pedro Baptista De Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki TakeyaAbstract:Magnetic refrigeration exploits the magnetocaloric effect which is the entropy change upon application and removal of magnetic fields in materials, providing an alternate path for refrigeration other than the conventional gas cycles. While intensive research has uncovered a vast number of magnetic materials which exhibits large magnetocaloric effect, these properties for a large number of compounds still remain unknown. To explore new functional materials in this unknown space, machine learning is used as a guide for selecting materials which could exhibit large magnetocaloric effect. By this approach, HoB$_{2}$ is singled out, synthesized and its magnetocaloric properties are evaluated, leading to the experimental discovery of gigantic magnetic entropy change 40.1 J kg$^{-1}$ K$^{-1}$ (0.35 J cm$^{-3}$ K$^{-1}$) for a field change of 5 T in the vicinity of a ferromagnetic second-order phase transition with a Curie Temperature of 15 K. This is the highest value reported so far, to our knowledge, near the hydrogen Liquefaction Temperature thus it is a highly suitable material for hydrogen Liquefaction and low Temperature magnetic cooling applications.