Every performance claim in IntelliForm traces back to validated research. Our methodology is peer-reviewed, openly available, and actively expanding — from Bayesian formulation optimization to QSAR biodegradability prediction.
This paper presents the foundational IntelliForm methodology: a two-stage surrogate-assisted NSGA-III optimization pipeline that achieves approximately 8,000× speedup versus direct multi-objective optimization. Eighteen molecular and performance properties are simultaneously optimized across 1,197 validated specialty chemical ingredients. The EcoMetrics sustainability scoring system is validated against 47 ISO 14040/14044 lifecycle assessment datasets (Spearman ρ = 0.83). QSAR biodegradability prediction achieves R² = 0.89 using 1,613 Mordred molecular descriptors combined with GradientBoostingRegressor. The paper also presents the Waste Score and Circular Formulation Engine as novel contributions to computational green chemistry.
Two-stage surrogate-assisted NSGA-III pipeline, EcoMetrics sustainability scoring (ρ = 0.83 vs. 47 ISO 14040 datasets), QSAR biodegradability R² = 0.89, Circular Formulation Engine. ~8,000× optimization speedup.
Examines how AI, smart sensors, and digital twins are transforming chemical manufacturing. Presents case studies in process optimization, predictive maintenance, and sustainable production scale-up using integrated AI-equipment systems.
Explores the convergence of AI and chemistry for sustainable industrial innovation — from natural language interfaces to autonomous formulation systems. Presents a framework for responsible AI deployment in specialty chemical production.
Presents a framework for AI-mediated specialty chemical procurement, enabling SMEs to access low minimum order quantities through intelligent supplier matching, automated COA/SDS verification, and REACH compliance screening.
Full-length article detailing the IntelliForm platform architecture, NSGA-III surrogate pipeline, EcoMetrics validation, and benchmarking against existing formulation approaches across 7 industry verticals.
Extended article with complete 5-figure publication-quality visualization suite, supplementary information, and cover letter submitted to npj Computational Materials for peer review.
Complete Article submission including full manuscript, cover letter with reviewer suggestions, and Supplementary Information. Covers the full IntelliForm ecosystem from Bayesian optimization to Molecular Memory Network.
Accessible overview of the path from laboratory formulation research to commercial green chemistry products — covering scale-up challenges, regulatory hurdles, and the role of AI in accelerating go-to-market timelines.
NSGA-III surrogate-assisted optimization for simultaneous cost, performance, and sustainability objectives. Bayesian Gaussian process models as surrogates for computationally expensive property evaluations.
Machine learning models for quantitative structure-activity relationships in specialty chemicals. 1,613 Mordred molecular descriptors combined with ensemble regression for property prediction from SMILES strings.
Automated carbon footprint calculation and sustainability scoring aligned with ISO 14040/14044. EcoMetrics validation against industry LCA datasets and integration of Scope 1/2/3 emissions into formulation optimization.
Knowledge graph architectures for retaining institutional formulation knowledge across R&D cycles. Negative knowledge capture — encoding what NOT to formulate — from real experimental failure data.
Multi-model AI architectures for autonomous chemical formulation. Natural language parsing, regulatory compliance verification, and consensus intelligence across specialized chemistry AI models.
Computational approaches to formulating materials for space, aerospace, and hypersonic applications. Outgassing prediction, radiation dose tolerance modeling, and cryogenic property estimation from molecular structure.
Newark, NJ · Tech MBA Program
STEM for Success Showcase · Advisor: Prof. Ravi Navindra
Smart Manufacturing research collaboration
Chicago, IL · NSF-START Program
CIMSEPP IUCRC · Advisor: Prof. Meneesh Singh
Pharmaceutical manufacturing · UIC Indigo repository
Interested in a research collaboration? We actively seek partnerships with academic institutions, national laboratories, and industry research groups working at the intersection of AI and chemistry. Contact us →