Results 81 to 90 of about 116,536 (277)
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
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]
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]
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
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
The global convergence of spectral RMIL conjugate gradient method for unconstrained optimization with applications to robotic model and image recovery. [PDF]
Salihu N +4 more
europepmc +1 more source
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
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]
Rehman MZ +4 more
europepmc +1 more source
An integrated control/structure design method using multi-objective optimization [PDF]
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

