Results 201 to 210 of about 74,614 (264)

Tighter privacy auditing of differentially private stochastic gradient descent in the hidden state threat model. [PDF]

Sci Rep
Bhuekar A.
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Distinct genetic variants from the whole-exome sequencing of syndromic anorectal malformations: A cross-sectional study. [PDF]

iScience
Suseelan V, Krishna A A, Zawar A, Prabhu PS, Bhatta P, Paliwal A, Mathur P, Medicherla KM, Polipalli SK, Suravajhala P.   +9 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

From Levin's Universal Search to Policy-Guided Tree Search. [PDF]

Entropy (Basel)
Li M.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Paraspinal muscle degeneration patterns in degenerative spinal deformity: a histological, morphological, and muscle functional comparison. [PDF]

Quant Imaging Med Surg
Liu Q, Kiram A, Wang M, Li J, Xu Y, Hu Z, Qiu Y, Zhu Z, Liu Z.   +8 more
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Echocardiographic Evaluation of the Right Ventricular Thickness, Myocardial Visualization, and Fractional Area Change: The Impact of Contrast Agent and Transducer Selection. [PDF]

Vet Radiol Ultrasound
Park Y, Yoon S, Han S, Shin J, Kim M, Park S.   +5 more
europepmc   +1 more source