Results 101 to 110 of about 21,563 (256)

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

Advanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong, Ji Li, Mu Su, Peishen Yu, Te Ma, Ruiyang Zhai, Chenye Zhang, Mengyan Zhang, Yan Zhang   +8 more
wiley   +1 more source

Accurate hyperfine tensors for solid state quantum applications: case of the NV center in diamond

Communications Physics
The decoherence of point defect qubits is often governed by the electron spin-nuclear spin hyperfine interaction that can be parameterized by using ab inito calculations in principle.
István Takács, Viktor Ivády
doaj   +1 more source

Imposing Star-Shaped Hard Constraints on the Neural Network Output

Mathematics
A problem of imposing hard constraints on the neural network output can be met in many applications. We propose a new method for solving this problem for non-convex constraints that are star-shaped.
Andrei Konstantinov, Lev Utkin, Vladimir Muliukha   +2 more
doaj   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

Advanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei, Ferran Brosa Planella, Sterling G. Baird, Samuel J. Cooper   +3 more
wiley   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Advanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo, Peter Serles, Donggeun Park, Julia R. Greer, Seunghwa Ryu   +4 more
wiley   +1 more source

Chiral‐Nematic Lattice Instability in Charge Density Wave of 1T‐TiSe2

Advanced Science, EarlyView.
The charge density wave of 1T‐TiSe2 appears chiral to surface probes yet loses all symmetry in spectroscopic measurements. This study reveals how cooperative condensation of multiple phonon modes stabilizes a chiral monoclinic ground state, while a shallow nematic energy landscape allows the lattice to break the remaining symmetry at negligible cost ...
Abdurrafi Ahsan Alghifari, Euihwan Do, Jae Whan Park, Han Woong Yeom   +3 more
wiley   +1 more source

Development, Testing, and Calibration of LINCS: A New Microsimulation Model of Maternal and Fetal Cytomegalovirus Infection in the United States

MDM Policy & Practice
Background. Congenital cytomegalovirus (cCMV) is a leading cause of birth defects and the most common cause of nongenetic sensorineural hearing loss in children.
Aaron S. Wu, Elif Coskun, Malavika Prabhu, Emily M. Santos, Fatima Kakkar, Clare F. Flanagan, Caitlin M. Dugdale, Megan Pesch, Andrea L. Ciaranello, John C. Giardina   +9 more
doaj   +1 more source

Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature

Advanced Science, EarlyView.
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Longhao Wang, Xuanze Zhang, Ruby L. Leung, Francis H. S. Chiew, Amir AghaKouchak, Kairan Ying, Yongqiang Zhang   +6 more
wiley   +1 more source

A Fluorogenic Cysteine‐Tetrapeptide Tagging Strategy for Nonperturbative Protein Labeling and Protein–Ligand Interaction Tracking

Advanced Science, EarlyView.
A compact Phe‐Cys‐Pro‐Phe (FCPF) tag and an environment‐sensitive SBD‐Cl‐derived probe form a sequence‐selective fluorogenic pair for wash‐free live‐cell protein imaging. This minimally perturbing chemistry allows flexible insertion at termini or loops, produces strong fluorescence upon local microenvironment confinement, supports FRET‐assisted ...
Xiao Wang, Xingcan Pan, Yongling Ying, Ziqian Bai, Jingming Zhang, Zhuang Shao, Jialiang Qian, Hongwei Li, Ning Zhang, Fan Yang, Yuan Liu, Xing Yang   +11 more
wiley   +1 more source