Results 81 to 90 of about 116,536 (277)

Self‐Limiting Polymerization‐Induced Crystallization‐Driven Self‐Assembly (SL‐PI‐CDSA) Enables Templated Synthesis of Chiral Plasmonic, Hybrid 2D Hexagonal Assemblies

open access: yesAngewandte Chemie, EarlyView.
This work details the rapid generation (t ≤ 5 min) of size‐tunable, ultralow dispersity (Ð ≤ 1.01) 2D hexagonal nanosheets by self‐limiting polymerization‐induced crystallization‐driven self‐assembly (SL‐PI‐CDSA) of modular and templating poly(aryl isocyanide) block copolymers, with functions that permit post‐polymerization modifications. Specifically,
Randall A. Scanga   +13 more
wiley   +2 more sources

Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher   +10 more
wiley   +1 more source

Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis. [PDF]

open access: yesFront Comput Neurosci, 2022
Jaffar F   +4 more
europepmc   +1 more source

An expert system for choosing the best combination of options in a general-purpose program for automated design synthesis [PDF]

open access: yes
An expert system was developed to aid a user of the Automated Design Synthesis (ADS) general-purpose optimization computer program in selecting the best combination of strategy, optimizer, and one-dimensional search options for solving a problem.
Barthelemy, J. F. M., Rogers, J. L., Jr.
core   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

A New Augmented Lagrangian Method for Equality Constrained Optimization with Simple Unconstrained Subproblem

open access: yesDiscrete Dynamics in Nature and Society, 2017
We propose a new method for equality constrained optimization based on augmented Lagrangian method. We construct an unconstrained subproblem by adding an adaptive quadratic term to the quadratic model of augmented Lagrangian function.
Hao Zhang, Qin Ni
doaj   +1 more source

A new Multi Sine-Cosine algorithm for unconstrained optimization problems. [PDF]

open access: yesPLoS One, 2021
Rehman MZ   +4 more
europepmc   +1 more source

An integrated control/structure design method using multi-objective optimization [PDF]

open access: yes
The benefits are demonstrated of a multiobjective optimization based control structure integrated design methodology. An application of the proposed CSI methodology to the integrated design of the Spacecraft COntrol Lab Experiment (SCOLE) configuration ...
Gupta, Sandeep, Joshi, Suresh M.
core   +1 more source

Home - About - Disclaimer - Privacy