Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
RNA design: update on computational frameworks and programs for inverse RNA folding. [PDF]
Brief BioinformMukherjee S +3 more
europepmc +1 more source
Constraint Satisfaction Problems
, 1997 In this section we discuss solving constraint satisfaction problems with evolutionary algorithms. We set up a formal framework by defining the notions free optimization problem, constrained optimization problem and constraint satisfaction problem.
Zs. Ruttkay, A.E. Eiben
core
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
EVA-centric QUBO optimization for active and reactive power coordination in DLMP-driven distribution systems. [PDF]
Sci RepSuri V +5 more
europepmc +1 more source
Role Induced Bias in Court: An Experimental Analysis [PDF]
Criminal procedure is organized as a tournament with predefined roles. We show that assuming the role of a defense counsel or prosecutor leads to role induced bias even if participants are asked to predict a court ruling after they have ceased to act in ...
Christoph Engel, Andreas Glöckner
core
Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
Advanced Science, EarlyView.Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok +4 more
wiley +1 more source
Mutual benefit of cloud manufacturing system and customers through integration of scheduling, order acceptance and fairness under a maintenance strategy. [PDF]
Sci RepSalmasnia A, Abbaszadeh M, Kiapasha Z.
europepmc +1 more source
Experts and Decision Making: First Steps Towards a Unifying Theory of Decision Making in Novices, Intermediates and Experts [PDF]
Expertise research shows quite ambiguous results on the abilities of experts in judgment and decision making (JDM) classic models cannot account for. This problem becomes even more accentuated if different levels of expertise are considered.
Britta Herbig, Andreas Glöckner
core
Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design
Advanced Science, EarlyView.Discriminator‐Guided Inverse Folding (DGIF) integrates multiple property predictors trained from single‐property datasets to guide protein sequence generation from a backbone structure. DGIF enables simultaneous improvement of thermostability and solubility without requiring multi‐property annotated datasets and generates designs that move toward the ...
Yuchuan Zheng +7 more
wiley +1 more source