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Mohammed Saif Ali Al-Fahdi

Research Associate

Federal Institute For Materials Research and Testing

Germany

Research Interests

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Professors in Germany Professors in Condensed Matter Physics Condensed Matter Physics professors in Germany

Articles (15)

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2026

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2026

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2024

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2023

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2023

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2023

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2023

Collaborators (9)

Kamal Choudhary

National Institute of Standards and Technology

UNITED STATES

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Zhi-Hao Wang

University of South Carolina

UNITED STATES

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Tyler Spano

R&D Staff

Oak Ridge National Laboratory

UNITED STATES

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Jie Ling

Associate Professor

University of Alabama in Huntsville

UNITED STATES

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Rongying Jin

SmartState professor

University of South Carolina

UNITED STATES

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YU GONG

Assistant Professor

College of Charleston

UNITED STATES

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Chen Shen

Technische Universität Darmstadt

GERMANY

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Hongbin Zhang

Junior Professor

TU Darmstadt

GERMANY

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Ming Hu

Professor

University of South Carolina

UNITED STATES

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Mohammed Saif Ali Al-Fahdi

Research Interests

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Articles (15)

Observation of femtosecond laser-induced coherent acoustic phonon pulse echoes in layered PtBi2

Crystal Structures, Optical Behavior, and Magnetic Properties in Hydrated Lanthanide Iron Sulfates

Unlocking Lithium Superionic Conduction via Phonon Softness Descriptors: A High-Throughput Machine Learning Paradigm

Syntheses, crystal structures, and electronic structures of new barium fluoromolybdates

Syntheses and crystal structures of four new d0 transition metal tellurites

Pressure-induced anisotropic reversal of thermal conductivity and its implication beyond conventional higher-order phonon scattering in non–van der Waals layered Bi2O2Se

Rapid prediction of phonon density of states by crystal attention graph neural network and high-throughput screening of candidate substrates for wide bandgap electronic cooling

Machine-learning-assisted discovery of lattice dynamics signatures of sodium superionic conductors

High-throughput thermoelectric materials screening by deep convolutional neural network with fused orbital field matrix and composition descriptors

High throughput substrate screening for interfacial thermal management of β-Ga2O3 by deep convolutional neural network

Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage

Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table

Physics guided deep learning for generative design of crystal materials with symmetry constraints

Author Correction: Physics guided deep learning for generative design of crystal materials with symmetry constraints

Collaborators (9)

Kamal Choudhary

Zhi-Hao Wang

Tyler Spano

Jie Ling

Rongying Jin

YU GONG

Chen Shen

Hongbin Zhang

Ming Hu

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