Advances In Chemistry Research &
About the Conference
Advances in Chemistry Research and Development
Chem R&D 2026 – marks the Second Edition of the International Conference
on Advances in Chemistry Research and Development is proudly organized by United Scientific
Group (USG), a non-profit organization and a leading scientific conference organizer known for
connecting global innovators, academic pioneers, and industry leaders.
Where
San Francisco, CA
When
April 27–29, 2026
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Key Highlights
Learn
Chem R&D is unique in its approach of encouraging a dialogue
between speakers and delegates through its well-planned agenda with the series of talks, poster
presentations, panel discussions and networking events that will keep participants engaged in
learning.
Discover
The conference aims to provide a unique opportunity to engage
with the global chemistry community, expand your knowledge, build your network, and make a
meaningful impact on the future of the field. Discoveries in chemistry often lead to
advancements in science, technology, and industry, driving innovation or making breakthroughs in
scientific knowledge.
Connect
Chem R&D connects all the researchers and professionals from all
over the globe to network and share cutting-edge research that leads to new break-through and
career advancement. This meeting will provide a platform for exchanging ideas, sharing insights,
and fostering collaborations to address pressing issues and accelerate innovation in chemistry.
Impact
Chem R&D is committed to translating knowledge into action. The conference fosters an environment where innovative ideas evolve into impactful solutions - from advancing sustainable practices and novel therapeutics to revolutionizing materials and industrial processes. By connecting research with real-world applications, Chem R&D empowers participants to contribute meaningfully to society, science, and industry.
Chem R&D 2026
Keynote Speaker
Mark Bomberg
Clarkson University
Potsdam, NY, USA
Potsdam, NY, USA
Chem R&D 2026
Scientific Sessions
- AI in chemical synthesis planning and retrosynthesis
- Machine learning for reaction prediction and optimization
- AI-assisted materials and catalyst design
- Autonomous laboratories and robotic experimentation
- Large Language Models (LLMs) for scientific discovery
- Data mining and cheminformatics
- Explainable and trustworthy AI in chemistry
- Quantum chemistry and multiscale modeling
- Molecular dynamics simulations enhanced with AI
- High-throughput virtual screening
- AI in spectroscopy and structural prediction
- AI in drug target identification and lead optimization
- Predictive modeling for ADMET properties
- De novo molecule generation using generative AI
- Digital twins and AI-powered pharmaceutical process control
- AI for designing polymers, nanomaterials, and composites
- Machine learning in energy materials and batteries
- Predictive analytics for corrosion, wear, and durability
- 2D materials, MOFs, and quantum dots for AI applications
- Smart catalysts designed via AI modeling
- Reaction mechanism prediction and optimization
- Process simulation and kinetic modeling using ML
- Flow chemistry and automation in scale-up processes
- AI for lifecycle analysis and environmental metrics
- Renewable chemical production from biomass and CO₂
- Zero-waste and circular economy-driven chemical processes
- Green solvents, alternative feedstocks, and eco-friendly synthesis
- AI-powered spectroscopy, NMR, chromatography, and mass spec
- Real-time lab analytics and smart instrumentation
- Automated data interpretation, reporting, and lab informatics
- Digitalization and smart manufacturing in chemical industries
- AI in process safety, predictive maintenance, and yield optimization
- Integration of IIoT, smart sensors, and cloud-based control systems
- Modular and continuous manufacturing systems
- AI-based monitoring of pollutants and emissions
- Predictive models for climate impact and environmental remediation
- Waste valorization and resource recovery
- Green manufacturing and industrial sustainability
- Enzyme engineering and synthetic biology
- Small molecule tools for cellular pathway modulation
- Chemical probes and imaging agents
- Molecular recognition, signaling, and therapeutic targeting
- Smart and functional polymers for stimuli-responsive systems
- Biodegradable and recyclable materials
- Hybrid materials, composites, and nanostructures
- AI-powered discovery and property prediction of novel materials
- Next-gen energy storage: batteries, supercapacitors, and beyond
- Green hydrogen, ammonia, and synthetic fuels
- Carbon capture, storage, and utilization (CCUS)
- AI and automation in petrochemical refining and fuel optimization
- Integrating chemical data from diverse sources
- Semantic AI and chemical knowledge networks
- FAIR data principles and open-access chemistry databases
- Machine learning workflows for structure–activity relationships (SAR/QSAR)
- Autonomous research labs and robotic systems
- Digital twin technology for experimental replication
- Lab orchestration platforms and smart lab environments
- Human-AI collaboration and hybrid R&D workflows
- Systems-level modeling of chemical-biological interactions
- Polypharmacology and chemical perturbation profiling
- Integration of omics, chemical biology, and AI tools
- Multi-target drug discovery and network pharmacology
- In silico toxicology using machine learning
- AI models for hazard, exposure, and risk assessment
- Safer-by-design chemical development
- Regulatory modeling frameworks (EPA, REACH) with AI support
- Case studies of AI implementation in real-world R&D
- Bridging lab-scale discoveries to pilot and industrial scale
- AI in formulation chemistry and quality control
- Regulatory and compliance integration with AI workflows
- Responsible AI and data privacy in chemical research
- Ethical implications of autonomous labs and digital research
- Integrating AI into chemistry education and training programs
- Global collaboration and standardization for AI in science
Chem R&D 2026
Pre Early Bird Registration
ACADEMIC
$649
DELEGATE
$549
STUDENT
$499
VIRTUAL
$299
Chem R&D 2026
Register Now
ACADEMIC
$649
DELEGATE
$549
STUDENT
$449
VIRTUAL
$299
AI in Chemistry: The Future is Now
In the era of accelerated discovery, Artificial Intelligence is revolutionizing how chemical research is conducted. From drug discovery and materials innovation to process design and sustainability, AI is:
Speeding up discovery
by predicting reaction outcomes and optimal synthesis routes
Reducing Costs
by minimizing failed experiments and optimizing resource usage
Enhancing accuracy
through deep learning models trained on millions of data points
Boosting collaboration
between humans and machines for smart, scalable R&D
Driving automation
in labs with robotic platforms and digital twins
Enabling personalized solutions
by tailoring chemical processes and formulations through data-driven insights, transforming everything from medicine to materials
Chem R&D 2026 recognizes this paradigm shift and places AI at the heart of its scientific agenda, ensuring every researcher, innovator, and industry leader leaves equipped for the next frontier of chemical science.
Why Attend Chem R&D 2026?
Stay Ahead of the Curve:
Discover the latest breakthroughs in chemistry, AI integration, and green technologies.
Unmatched Networking:
Meet top researchers, thought leaders, and industry professionals from around the globe.
Present & Publish Your Work
Share your research through talks or posters, with opportunities for journal publication.
Collaborate & Innovate:
Spark collaborations with academic institutions, R&D centers, and startups.
Get Recognized
Compete for Best Presentation, Poster, and Young Researcher Awards.
Learn from the Best
Gain insights from Nobel Laureates, AI pioneers, and industrial R&D leaders.
Who Should Attend?
Academicians & Researchers
Professors, postdocs, and PhD students
Industry Scientists & Engineers
Professionals from chemical, pharmaceutical, energy, and materials industries.
Innovators & Startups
Entrepreneurs and tech developers shaping the future of chemical technologies.
R&D Managers & Consultants
Leaders driving innovation and managing product pipelines.
Policy Makers & Sustainability Experts
Professionals addressing regulatory, environmental, and ethical concerns.
Aspiring Young Scientists
Undergraduate and graduate students eager to learn and grow.
Sponsorship & Exhibition Opportunities
Partner with Chem R&D 2026 and showcase your brand at one of the most anticipated global gatherings in chemical research and innovation!
Why Sponsor or Exhibit at Chem R&D 2026?
Direct Access to Decision Makers
Engage with top-tier scientists, R&D heads, industry leaders, and academic innovators.
Targeted Visibility
Position your brand in front of a highly relevant audience from chemical, pharmaceutical, materials, and biotech sectors.
Launch & Promote Products
Showcase new technologies, services, or instruments to a captive and curious crowd.
Network for Growth
Connect with potential clients, collaborators, and investors from around the world.
Thought Leadership
Gain recognition as an industry leader by sponsoring sessions, panels, or networking events.
Exhibit at a Premier Venue
Secure a prominent booth and benefit from steady foot traffic throughout the event.
Sponsorship Tiers Include:
We offer Platinum, Gold, Silver & Bronze sponsorship packages with customizable benefits.
Enjoy extensive branding across event banners, our website, digital campaigns, and on-site signage.
Gain exclusive opportunities to host luncheons, welcome receptions, and breakout sessions.
Who Should Exhibit?
Chemical & Pharmaceutical Companies
Lab Equipment Manufacturers
Analytical & Process Instrument Providers
AI & Data Analytics in Chemistry
R&D Consulting Firms & CROs
Scientific Publishers & Developers
Government & Innovation Agencies
Interested in becoming a sponsor or exhibitor?
Fill Sponsorship Inquiry Form Fill Sponsorship Inquiry FormReceive our detailed sponsorship prospectus.
USG Partners-Who Believed In Us
